 Good morning, and welcome to this week's edition of Encompass Live. I am your host, Krista Porter, here at the Nebraska Library Commission. Encompass Live is the Commission's weekly webinar series where we cover a variety of topics that may be of interest to libraries. We broadcast the show live every Wednesday morning at 10 a.m. Central Time. If you are unable to join us on Wednesdays, that's fine. We do record the show every week, and then the archive is then posted onto our website. And I'll show you at the end of today's show where you can access all of our recordings. Both the live show and the recordings are free and open to anyone to watch. So please do share with your friends, family, neighbors, colleagues, anyone you think may be interested in any of the topics we have on the show. The Nebraska Library Commission, for those of you not in Nebraska, we are the state agency for libraries. It's just a state library. So we do training and consulting and support and education for all types of libraries in the state. So you will find things in our Encompass Live shows that are for any type of library, public, K-12, academic, museum, historical societies, any kinds of archives, corrections, anything that's got a library. We may potentially have a topic or a show about it, anything vaguely library related. We share things that are products and services that maybe we are offering through the Library Commission to our libraries. Cool things we think you might be interested in. We bring in guest speakers from the outside of the Nebraska Library Commission across the state, across the country actually, talk about things they're doing at their libraries or in their organizations. So it's quite a mish-mash. Really the only criteria is that something library related, something libraries are doing, something we think they could be doing, something we think they might be interested in. We all, of course, have a library commission staff that do sessions as well. And that's what we have today with me is Amanda Sweet. Good morning. Good morning. And she is our Technology Innovation Librarian here at the Nebraska Library Commission. And she does a now monthly, usually the last ones, they have the month unless there's some scheduling things that need to be adjusted, but generally keeping it to the last one of the month. A monthly session called Pretty Sweet Tech, Anything Technology Related. So if tech is your area of expertise or your area of interest, definitely she's, her shows are ones you want to keep an eye on to sign up for. And today we are going to learn about Quitting Languages. Yeah, I know some things about them. I know some languages ish. I've done some of those code hour things for fun. Yeah. I don't know if I've learned anything practical yet, but which coding language, what coding language should I learn is what we'll find out today. So I'm going to hand it over to you, Amanda, to tell us what to learn or how we figure out what to learn. That really what we're talking about here, I think. That is a better question. Yeah, there are so many. Yeah. So there are about a million and one different coding languages and they keep blending them together too. Oh, that's awesome. Yeah. So I do a lot of work in maker spaces across the state and I kind of help people out with trying to figure out which technology tools they want to bring into the library. And one major question I always get is, what coding language should I learn? And then I always ask, well, what do you want to do? I'm cricking. I don't know, but I've just heard that I need to learn how to code. Yeah. I've been told I need to. I've been told I need to teach the kids how to. Yeah. But that's such a vague and broad thing. Yeah. And fun fact. So I know a lot of coders, like a lot of them. My brother's a software engineer. I go to the AI and data driven innovation event on the UNL campus and I go to, I'm involved in. And tech organizations and involved in a lot of like coding organizations and like computers and public schools and different things like that. And not even the experts know exactly which language you should learn. There's a lot of conflict. There's even a lot of conflict about what all this technology actually is. So this is kind of what we're going to go over right here before we start deciding which information resources and which tools to start making technology. But we should actually focus on probably look at how people learn skills. How do people actually pick up this information? And once we know that we can find out how libraries can help because librarians cannot, should not and will not learn all of this technology thoroughly, fully enough to be able to teach someone to an expert level. Oh, gosh, no, that would take about eight million lifetimes. Yeah, I think we're good at the, you know, we'll give you a taste. We can get you started. And then we can tell you where to go to, you know, really dig into it. Yeah. And that's what this is all about. Get your degree or something. Yeah. And that's what this is all about is showing people what's out there. So what I did was put together a bunch of information resources about machine learning, chat box and voice assistance, IO, augmented reality, virtual reality. I have one for robotics, but every library on the planet is doing something about robotics. And I've done a robotic session before and we only have 15 minutes. Yeah. So look for that other session. Yeah. Yes. But I chose this technology because it blends into the background. We don't pay attention to it. And yet that's right. You don't think about what's there behind the scenes making everything work. Yeah. And this is one of my favorite posts that I've come across when I was reading across the gamut. The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it. That's what your phone is. Oh, yeah. Yeah. And it's just, we pick it up and it's just part of life, artificial intelligence, just part of life, the natural language processing that recommends the text that we put out there. Just there. So how do we learn? We start off by knowing absolutely nothing. And we can't learn something if we don't know what's there. And then we move into, I can't know about it. I don't know why I should care. But I learned a little bit about it. And now I can start troubleshooting a little. And then finally, you can start using the skill, but you have to look up a lot of things along the way. You might hit a lot of walls. And then finally, it's just automatic. You can code in your sleep. I know. And I'm sure there's things that you've learned this way that you can match. You see, oh, I've done that about something. Yes, I've had to do. Yeah. And then definitely isn't just coding. I've learned anything. Yeah. Like this happened when my grandma taught me how to learn embroidery. Sure. Just life. But I can now detangle my thread. And then libraries can help people do this just by helping people gain exposure. And we can provide general information sessions and gain like the low cost tools to be able to just show people what this stuff is. And would show TED Talks and different videos about this without even investing any money into it. Sure. You might not choose what to learn if people don't know what it is. If you go out in the street and ask someone, do you want to learn artificial intelligence? They will go, what is wrong with you? Go away. And then so once people know what it is, then you can start providing areas of opportunity for people to practice learning that skill. How do you keep someone with a new skill in the community? You give them areas to use it. You give them a reason to practice it. And then you start getting the other members of the community together to find out how that technology actually works. And then say, you know, we don't all necessarily need to know how to make this ourselves. But we can leverage it. And now we can build different areas of expertise so we can build a better tool and be able to communicate with technologists. And this is one of our major goals and all of this before we even start digging into the specific tools and the specific resources. What do people care? What are people in your community actually trying to do? And are they actually trying to learn to code from scratch? And do they want to know every single little bit of syntax? Do they just want to know how the generic technology works so they can apply it in different ways? Do they want to be able to communicate with technologists to outsource a project so that they don't get a poor quality or like snake oil product? You've got to be able to explain it to the experts by knowing you're just enough to know what you do and don't like or do and don't want it to do. And do the users of this technology just want to keep themselves safe? You hear all these horror stories about artificial intelligence taking over the world or anything. Oh yeah, the Skynet's coming. And like the privacy and security things, people hacking into little bare cams for the internet of things. Like parents would put the little teddy bears with the camera as a nanny cam in their kids' rooms. Then hackers would go in and hack into the feed and then be able to see like a little front row shot of your kids in their play room, which is super creepy. So how do we prevent that? We need to understand this new technology just to keep ourselves safe, just like digital literacy and computers. So how do we start learning? I'm going to go through each one of those major different technology categories and go over some major information resources that are easy to understand by the public and also tap into the resources of the technologist. So I'll start out with this AI for all. And we're not going to spend a ton of time on each one of these individual resources because there's only so much time. But I will share these slides so you'll have access to all these links and all these learning resources. Afterwards, when we do the archives of this, like I mentioned earlier, if there are presentations, we include them as well. So you'll have all of this, all these links you can go in and spend more of your own time exploring if you want to. So this is one of my favorite definitions of AI. And it is simply that right here, branch of computer science that allows computers to make predictions and decisions to solve problems. That is your baseline definition of AI. How does it do that? It needs a lot of data and information. And the reason that AI is hitting this major boom right now is because we have access to so much more information. We generate like two terabytes of information collectively in a very short time span. And now, so that feeds into that little catch-all phrase of big data. And big data is what feeds all of this technology that we're talking about right now to make it work more effectively. And now we're hitting a slew of potential problems and we're hitting a slew of potential awesomeness. So this one is, so AI for all is actually an organization that is doing education outreach to, as it says, unrepresented talent. Mostly they're focusing on high schools right now. So this actually started in Stanford. So you can reach it if you are part of a high school or affiliated with a high school. You can reach out to AI for all to learn more about their summer programs and their educational programs. And then they provide curriculum that can be used as outreach for students. And that's one way that you can incorporate that for schools instead of trying to do it all on your own. Don't read it at the field. Yeah, that's insane. There's a lot of things out there that, like you said, the curriculum that you can use. You don't have to create all of these classes or at least some trainings or exercises or things. There's somebody else who's already done this for you, so it's okay. And then you can also go into, so this one I put in here because it has an awesome chart. Oh, charts. Yeah. So this will basically tell you is what I'm looking at actually AI. And this is kind of your little litmus test looking thing to find out what you're dealing with. And this text on the screen might be a little bit too small, but it's way easier to see on your own home screen without the app. And this also gives an awesome description about what it is and the future of AI. And it's out of MIT, so they know all they know they're talking about. And so then these are also resources from IBM Watson, which is one of the biggest terms you're going to come across in learning about AI. Their focus is on machine learning and deep learning. And there are resources to pour how to learn that on your own in the next slide. And then these are the, these is the resource from Google, which is one of the more popularly used resources. However, I'm also going to open up this link from the New York Times about so there has been a slew of Google employees that have been saying, what we're doing actually really ethical. And Google has had, for the longest time, Google's had this open door policy about employees should be able to speak up about what they believe in, and they should be able to make their voice heard and be able to have an open conversation about the ethics of technology as it's growing into the future. And they started firing people. And that started to get a little sketchy. So this is kind of an expose article about the story behind that. And then you look back here. And this Googles in the name that there are other companies that are also having that problem. Amazon, Microsoft. They've gotten so big and they've gotten bigger than they know how to do things. And they're struggling and not doing so well. So now we have, this is where we learn. Google, IBM, Google. This is affiliated with Google and IBM. We're learning from companies that now have potential ethics problems. But they're also, if they also try to corner the education market, where else do we learn from? Oh, there's lots of places out there that are not them. Yeah, yeah. But then this is also the number one thing used in the industry right now. So we need to learn how to use this tool, but also keep in like, take with a grain of salt their ethics policy. And start learning it and understanding it well enough for ourselves that we can start having that discussion within the public. And on behalf of the people that are actually using it. So in terms of the actual coding language, that's actually secondary. But Python will get you where you want to go. So Python will get you into TensorFlow. Google AIY is a tool that is based in Raspberry Pi. And Raspberry Pi, this version uses Python as a coding language. And so I'll organize it this way. Code.org is the easiest way to find out this is more for kids and beginners who have never seen machine learning before. It'll give you videos and animated learning options so that you can learn the basics of the concepts behind machine learning in the easiest way possible. And so this is kind of a little sample of it. But this is an interactive game that will help you train your own machine learning model. And it'll show you how the basics of how the data set has to be labeled in order for the machine learning system to be able to learn effectively from it. And then it will give you an idea of the sheer quantity of data that is necessary to be able to train a model that will be put out into the world. And then the end of this activity will start questioning the different applications of artificial intelligence. We can use it to sort out which fish is which, but then can we use it to sort out which fish is happy? Oh gosh. Which fish is angry? Which fish is out to get you? Can we use artificial intelligence for something that's objective? It starts asking those questions. And this has got to be a lot of data for that. Yeah. And so this one also gives you the additional teacher resources. It's code.org so it uses some of the hour of code. And in partnership with Microsoft. I like Microsoft. I'm okay with that. It just, take it for what it is. It's the big guy. Yeah. And then this one, when you're done with all the resources in code.org, you can shift over to Google's Aiy. The Aiy is, it comes with a little Raspberry Pi, and this is just a little cardboard box that acts as a speaker. So you're basically, there's one version where you can kind of make a mini voice assistant. There's one version where you can make a, it'll be able to recognize different facial images. And this is one where it tries to tell you what your mood is based on your facial expression. Ooh, nice to be fun. Yeah, right. If it knows. Yeah. And so this one gives you like a whole bunch of different projects, and it'll kind of walk you through step by step for how to put it together and how to make it. And this one is, it's Python based. So this one is one of those learning by examples. And then. I think that's the kind of thing I need, because I mean, I think, why are you wanting to learn this? Yeah. What can I do with it? Not, yes, learn how to code something, learn what the code is and what the commands are. That's fine and what you enter. But what's the end result? Why do I, like you said, why do I care? What can I do with it? So having some of the real world examples, I think that that for me catches my attention a lot better. Definitely. Then just, yes, you have to code. Yeah. It's like, cool. And then so these are the intermediate to advanced versions. So once you know how an API works, how Raspberry Pi works and all that stuff, you can move into more complicated stuff. So Google put together this resource for teaching. I use the term beginners loosely here. And I think Google does too. Because there's some background information that you need to be able to have before you can be comfortable as a beginner in this environment. And that is where that is why I put Raspberry Pi before this. Because if you just jump straight into this, you'll feel like you're drowning. And you'll get more out of it if you already have a background in the basics of Python syntax. And that's where this comes in. Because there are, Python actually put together a set of resources for different ways to learn Python. And because everyone learns differently. And I can send you to the one that I use to start learning the basics. But that's not going to help everybody. You might actually have, I've had, I had to go through seven different tutorials for Python before I found one that worked for me. And so I worked through about a good number of these. And then eventually it finally just clicked. It's like they got so many different ones in different places, yeah. And some of these are free. Some of them are behind a paywall. Mosh is the one that I use to learn C-sharp. He's delightful. And so here, I didn't put this into a slide, but here was what I recommend for people trying to learn a new programming language from scratch. Start going onto YouTube and start searching the basics of the coding language. And you'll usually be sent over to an hour to a two hour long video that will show you the ins and outs of the syntax in the different areas of the programming language. And as you start to learn more about it, then you'll start learning the keywords to look for troubleshoot. And then you'll be able to find a higher quality program that is behind a paywall. And you'll know that they're covering, they're covering the topics and information that you actually need. And that you are paying for something decent. And it's delivered in a way that you can understand at your current experience level. And that is actually what I used this YouTube video for, is to learn enough about it to know that I'm not getting snake oil. So that's kind of your generic machine learning, start with Python. And that is just going to get you into the door. And then they're going to tell you that there are a million other coding languages that you can also use, like C++ or... You can also use JavaScript with it. That's a good place to start. Question, what can you explain what is Raspberry Pi that some people are not sure about? So Raspberry Pi is a wee little computer. And it will actually open in this. So Raspberry Pi 3B is the one that I have, but the most recent model is the Pi 4. And here we go. It's actually that sort of motherboard looking thing, but it's big. It's the heart of a computer. Pretty much. It's got a little processor in there. It's got some USBs. But there's a little Wi-Fi chip on the back. And there's an Ethernet cable port. There's some charging ports. And actually there's a whole diagram that'll show you what everything is. So people have used Raspberry Pi to build robots. They've used it to build... You can turn it into a voice assistant. You can turn it into... It's not anything. So I'll actually go into this here. You can make a chat bot with it. So this is Raspberry Pi's project page. And a chat bot is like a little a version of artificial intelligence. So when you go to some of those bank websites and you need to ask for help with something like that, a lot of times now you won't actually be interacting with a machine. You might be interacting with a machine. And that machine is programmed to deal with a whole bunch of different specific subject matter questions. So if you veer off of that, it'll probably say something like, I'm sorry, I'm not familiar with that. Let me send you to an agent. Then you talk to a real human being. Yeah. So it handles simple things like depositing a check or verifying your identity and checking your bank balance and things like that. And there's also a... Oh, there's a fluid stuff. I should do one just in Raspberry Pi. Yeah. Oh, definitely. I know. Because it's so easy to get a hold of and get one and not expensive to start with. Yeah. Do you have them? Actually Raspberry Pi appears later in the Internet of Things too. Okay. I skipped one slide here. But chatbots and voice assistants are kind of everywhere. So this one will kind of go over what chatbots are, which is basically... I'll open. I don't want to open. This one is a shorter one. There. Chatbot is a computer program that uses AI to have conversations with humans. So this has gone also in good and bad direction. So they've used chatbots as therapist replacements because they wanted to use a low cost therapy option. And they ran into some trouble. So there was... Let's see if I put this article in here. Okay. I didn't put that one in here, but I'll open this one. So we want to know what we should look for in a good chatbot. And we want to know how chatbots should be applied and how they should not be applied. And can we trust the information that was provided by a chatbot? And we also need to know the different types of chatbots that are out there. How they're made and how information filtered through those chatbots can impact us. Because we're librarians. We care about where information came from. We're very skeptical. Yeah. Healthy skepticism, which is important. Yeah. And when you have a conversation with someone, you think of information differently than you would when you're reading it. So when you read it, you have that litmus test of things that you should look for. Like who wrote the article? When was it published? Who funded it? And all this stuff. When you're interacting with a little Amazon Echo where you just talk into a cube and say, where is the capital of Japan? And it just tells you. But then you start asking it more subjective stuff. Like what should I do with my life? You can get in trouble. How do you ask a voice assistant when the last publication date was? I've tried it. Like I tried both Google Home and Amazon Echo. And I said, give me three sources of information about this topic. And it googled, give me three sources of information about this topic. You can understand what you're really... I got information about digital literacy. But it didn't give me three sources. And I asked, when was this article published? And it didn't access the metadata to be able to find it. I'm sure there are some databases and some sites that will tell you if the metadata was put in correctly, but it wasn't. It needs to be able to, if this is the coding part, needs to be able to know how to find that info and has to be in there for the computer to see it. And the reason I give you this information is not because I think you're going to memorize it all and use it all tomorrow. But it's because you can take this new information about technology and you can go out into your community and start seeing how this is going to be impacting people. And start finding out why people in different professions and why students and why different people will care. And then how can you use this to make the library a resource on technology? Because if you sit down and you ask yourself, if someone walked into the library right now and asked a bunch of information about how to get the best resource to learn about technology, can you help them? Because libraries are an information resource, technology is now one of the most popular topics in the world. Can we help them? Some can, some can't. I can't tell you what your resources are right now, but if you feel that you're lacking in that area, this is here to help. And this is part of the huge maker movement. Yes. All of these beginner level and possibly even some of the intermediate advanced, they're incredibly easy to do in a maker session. And so you start with the beginner and work your way up. And you can give this information for people to know where to go next, because that is one of the hugest problems that are in maker spaces everywhere. We want to help people, we want to give people information for how to get to the next step. We don't have the time or resources to help them personally. Yeah. So start with beginner and then provide them with access to information and then get people on board to help them practice what they've learned. And that's what we can do as a library community. And what is our time? That'll tell me if I want to go in. Okay. And I want to still go over IO. I'll open two of these sources and then we'll keep chugging along. So the Raspberry Pi chatbot we just opened recently. The scratch chatbot is similar, but it's using a different language. And FYI, Python will help you with this too. And Google's dialogue flow is where you want to go to be able to learn more. So this is one where you don't necessarily need to have a coding background. Python will help a bit, but you can get by with just using their built-in information. So on here you will find a practical use guide and a design guide. And it'll tell you how to gather the correct information to be able to build the most effective chatbot. I'll say what are you trying to design and what is your target audience? Which subject matter are you going to be covering? If you're designing a chatbot, what is your context? What are the questions that people are most likely to ask? And what will you do if your chatbot is not able to answer that question? Because I think this is good that brings you right to starting off with what's your ultimate goal? Not let's play around with creating this thing, but what are you trying to do in the end and then work backwards from there? And that's just if you do one single project and don't frame it in any way, shape, or form, you're just kind of... You're building another chatbot that may potentially confuse and frustrate people. And we'll close that, and I'm going to close a bunch of these. So then we'll hop into Internet of Things. And this is basically the whole world is basically connected. This is what connects different devices to the Internet at large. So if you have a greenhouse and you want to be able to find out what the temperature and humidity is that will help your plants grow the best, you don't have to be sitting in your greenhouse all the time or manually check it. You can set a little alert that says the humidity is over this certain level. You might want to look at that. And then you can take it a step further and you can integrate it with an IO based thermostat so that you can trigger it so that if the humidity or temperature goes above or below a certain level, the thermostat will automatically adjust itself. And then you can take that a step further and you can start putting sensors into your soil to read the nutrient levels and find out when they actually need to be watered. Then you can take that a step further and automate it so that you can set up the sprinkler system so that if it goes below a certain soil level, you can either spritz it with a nutrient or you can spray it with water so that it goes up to its proper saturation point. So good things can happen in your garden. And this will kind of tell you about the different things that you can do with IO. And where it's kind of going. And I won't go over this whole thing because we have a better way to find out what it can do is to just do it. And that is where if this then that comes in handy. So if this then that is exactly what it sounds like. These are kind of like a little system of different devices. If I wake up in the morning at seven o'clock in the morning, set my coffee maker to go off. And this gives a whole bunch of different options that you can do to play around with in under the things. And this will tell you the device that you need to get to be able to play around with it. And it'll give you a step-by-step of how to do it, how to set it up. And basically it's just downloading an app and then putting in some settings of a target sleep duration. And then it'll give you a little alarm that says, go to bed. You didn't get enough. I am. As usual. Have any all night. So if you want the biggest list of practical applications, go to this site. They've got a lot of them there, yeah. I think that in real life these are things you would actually care about. Yeah. And this is stuff you can get it and do it tomorrow. Some of them are more expensive than others. I have a love-hate relationship with the vacuum robot. Robot? Yeah. But some of them are super cheap. And a lot of them actually run through Raspberry Pi for the Google Assistant. This Google Assistant, I got the mini for like, I got it on a Black Friday sale for like $20. Yeah, you can get them on sales a lot, you know. So options. And this is also a really quick and easy way to set up a maker activity to show people how it works. And then I said that we would bring Raspberry Pi back up. So these are, this also uses IFTT, if this and that. But it integrates it with the Pi. So this will give you kind of a wiring diagram. It'll give you a step-by-step for how to set that up. And some of these will have video instructions for how to do it. I don't, I'm not going to wait for it to bloated that. Like some will give video instructions for how to do it. Some are just written instructions and some are, some are better than others. It's good to have that option of the video because I know some people are better learners. Watching it actually happen. Or sometimes it just helps supplement what you did read. I have that sometimes in trying to fix something or do something. Like, I want to see somebody else do it first. I can read this whole thing, but I want to make sure, you know, what it's supposed to look like when I get to that point. Yeah. And this one has a bunch of beginner level stuff. And some of these leave beginner loosely. You might actually want to start with regular Raspberry Pi projects and get used to the API and how the computer, like how the Raspberry Pi talks to an actual computer and how it interacts with sensors. So that's why I put in this. This is Arduino. Arduino is a microcontroller. It's not actually, it can't really be used as a full-fledged computer, like the Raspberry Pi, but you can use it to also do robotics and you can use it to learn how this microcontroller talks to a computer. And it also uses a bunch of different sensors. So that accelerometer, gyroscope and magnometer, those are the three sensors that are inside of a virtual reality headset that helps you locate yourself in space. And they're also in your cell phone. So whenever you tilt your phone and the screen knows to switch over to a landscape or a portrait, then those are in play. And then your map system also uses that. And there's also, remember that garden stuff that I was talking about? There are also options for setting up different garden experiments using this because-learning system. And this is designed for the classroom. But it can also easily be adapted into different libraries. Sure. Or if you're a school library, cool. So you can search by the actual sensor, and it will give you different projects, and it will tell you the recommended grade level, and then it will also tell you a step-by-step of how to set this up and how to start learning it for yourself and then how to help people learn it. So Raspberry Pi sometimes kind of reaches a beginner step. Yeah. But this is a good entry level point so that when you're familiar with how the system works and you've gotten the step-by-step informational section, then you start gaining that comfort level and then you can start going into Raspberry Pi. Yeah, I want you to know how it works, why all those pieces-you're putting it together yourself, all those pieces in there, you kind of understand, you know, oh, that's why I put that there and that's why I put this here. Yeah. Rather than coming up with here's the end results that you don't want to figure out. Yeah. I think you're the end product, yeah. And a lot of Raspberry Pi, they are not kind to very, very beginner coders. But this one is-like this one will definitely walk you through and say this is why-this is what this line of code is doing. Try changing this one single number in here and then press play and find out what it's doing. Do what happens. And this is one of my favorite learn-by-doing kind of things because this will-I don't want to say hand-holding, but it gives, like, better description. And it gives, like, a perfect walk-through in an easy-to-understand way and a better, easier-to-understand diagram. And a lot of the Raspberry Pi stuff, it's not- some of the stuff is out of date. Some of it's made by people who aren't used to writing instruction. Oh, yeah. And I've read through some open-source Raspberry Pi tutorials on Instructables and then, like, what? What just happened? But this one will help you get, like, ease into it. Anyway. Close that. And EBITDA is another one that works with Raspberry Pi or Arduino. So do not be fooled by this opening page because there is an education system and there is a source for industry. So they'll ask you for your- if you click into this pricing section and then you go down and they will ask you, are you actually looking for the STEM one? And you're like, yes, I am. And then it'll ask you to sign up and it'll shoot you into that STEM section, which is free. The one for educators. Yeah. But what this is actually doing is... Oh, this is a good one. This one. Oh, I hate clowns. So they partnered with a whole bunch of different organizations to make this system compatible. And this will- it's more of like a plug-and-play option for being able to download an app onto your phone and then have that app be able to collect data from a sensor that is plugged into a separate device and have that sensor communicate with your phone more easily. And that is... That's the Internet of Things. Yeah, connecting all those things, yeah. And it's used in industry and it's used in education and it's used in lots of different ways. So you can also find more examples of how the Internet of Things is being used in the real world by going into EBITDA. And then it'll also give you better information about how to integrate this stuff and how to use it now instead of after I learn the entire coding language. So once you... Raspberry Pi will open the door for a lot of different things. It's everywhere. And... It's been around for a while. Yeah. It has a good support system and it's got integration into a lot of other different systems. And it's a techie stream. I know. And this will just give you more or less step-by-step instructions for how to do it and what you need before you can start doing it. And most of these sensors are remarkably cheap. So 10 bucks and a $40 Raspberry Pi and an education account you're in business. Easy. Yeah. And then it also gives you the right wiring setup. Anyway, that's why I like this one is because it's easier to understand and it doesn't force you to learn everything before you can just get going. Hey, David, trying to sell me something. Oh, thank you. So since we're getting closer, I'll remind everybody, if you do have any questions you want to ask, Amanda, about any of these things, type into the question section and you'll go to Webinar Interface. Let us know as we're going through these or if you have any comments or thoughts on any of this that you've done, if you've done anything like this or if you've had anybody at your library to ask you about doing anything like this, your experiences or anything, go ahead and type into the question section. We can chat about that. The real people, not a chat box. I know, right? Or is it? Yeah. And so this is where you would go into the more advanced level stuff. And so these I linked straight over to the option that will integrate with Raspberry Pi. And Azure is like, it'll give you a lot more flexibility of what you can do with the Internet of Things and it'll kind of open the door for building the whole system yourself. And some people really want to do that and other people just don't care. But it's an option. Yeah. And Microsoft is also pretty good about building their own training system, too. Because they want you to use their product. Absolutely. They want to teach you how to do it. Yeah, they want you to want to use theirs. They can use it, yeah. And that's why it's easier to find stuff for free on here. Because... They're hoping you'll stay with it. Yeah. And Google has the same thing. Google has like everything. Google has... I mean, even though you did say things like they're having issues with being evil or whatnot, they are good with putting out educational type things but trying to teach you how to do things. Whether it's using their products and services or using other ones. They have... Oh, I think Ben about that. We're here to help you find information. Kind of like librarians. We're here to help you find it, but we're here to help you teach you how to use some across-the-board things as well. Yeah. And so all of my generality is just fun. Yeah. So this one is you hold up your... The most popular method of it is using a mobile phone because most people have one. So you open up an app on your phone. The app accesses your camera. You hold your phone over. When the camera recognizes a certain object, it will overlay a digital image or play a sound or trigger some sort of media to be able to display on the phone screen. And the best way to learn about it, Pokemon Go is the most popular one. So he is pointing his phone out into the beach and there is a poly world. And this is what shows up on your screen when the camera recognizes this one is geolocation based not trigger based. So there is marker based and marker list based. Marker based uses an actual image or a target image to be able to trigger that sound or overlay onto your phone. Pokemon Go uses like a GPS location so that when your phone reaches that point, that's when the Pokemon pops up on your screen. And so if you want to learn more about how this stuff actually works, we have some resources on here. And this is where it's going in the future. Oh, this is going to give me an ad. Go be it. So she is wearing the headset and now she can interact with the digital objects that she is seeing on her headset. That's definitely the future. That's the kind of thing we see in the movies in the TV show, finally. So I'm going to skip to you can press interactive buttons and she is about to play a piano. And you get the idea. So the HoloLens 2 was made by Microsoft. It actually cost $2,500 for a developer's kit. And that's why the Learn the Basics is more of the start with a mobile phone and don't put the money into the really expensive stuff until you know people are going to be interested in it. Yes. The other question is the HoloLens actually going to be able to get to a point where the price point is low enough that they can commercialize it. Yeah, right now, no. And so that is where AR could go. But it's also just really fun in the mobile device too. Yeah. It's not the same after you've seen that video though. I know. That is like the epitome, the exact good and what to be able to do with it. And it's not easily available to people yet. So how can you do it? Start with the merge cube which is it's a little phone cube and it sort of looks like a board cube. And it is integrated with a bunch of different it has support by co-spaces which is an educational app and so honestly this is a terrible picture presenting what this is because it makes it look like he can just see the cube and he's seeing that. But you need to wear the device. So if this were a better picture, this cube would actually be in front of the camera on this display screen and he would be looking at the screen. And he might have a very vivid imagination. But yeah, I should maybe write some a letter. But no, this you can actually only see on your digital device. But you can also integrate this with Tinkercad and Tinkercad is a free system where you can build your own 3D objects and designs. And this is automatically merged into merged into the merge cube so that people can go in build their own 3D design in Tinkercad and then they can pop their image onto the merged cube. And the merged cube I was hoping I would find a better image of it. This is it. Definitely Yeah. So these are their anchor points so that when the camera registers those specific images it pops that onto the cube. And there's also a VR part of this too but it's made out of foam and I've tried putting different sizes of phones into it and it's really easy to break that foam. So if you do get this make sure you have little velcro strips so that you can use that to hold the phone in place because that foam breaks in a hot second. So Unity is the first version and C sharp is the language that you would want to learn for Unity. And then Google's AR core is kind of the next level up. And AR core actually works with Unity game engine. And I don't think I have time to describe Unity too terribly much because I'm already over. But it is delightful. And so these are some places to learn C sharp. When you learn C sharp it'll be easier to animate and manipulate images into Unity game engine. If you don't want to learn how to code but you just want to find out how Unity works Google Unity and before your game engine because before you will let you just pull in different pre-made 3D images and pop it into a system. And these are some other areas that you can find to learn this. Most was just one that I preferred. And virtual reality I have a floating dot. So virtual reality society will tell you pretty much anything and everything you need to know about virtual reality. And basically you can put on this headset and it will block out any any visuals from the world around you. You'll be immersed into a virtual world. And this is being used in a ton of different ways. So these are the different industries currently using virtual reality. And these will give you different ideas of how visualizations is one of the bigger ones. And construction is also another huge one. Oh, that makes sense, yeah. For architects or constructives to see what it's supposed to look like before they get it wrong pretty much. But the board or the whatever in the wrong place, yeah. And then if you want to make it C sharp will also get you there. The same tools that are used to make augmented reality most of them can also be used to make virtual reality. Actually all of them. The only different option here is A-frame. And A-frame uses HTML, CSS and JavaScript. And but honestly appearing if people want to go into industry, Unity is the way to go. And I used A-frame in a previous show on Encompass.ly that was one of the things used in a previous session that we did. I did a quick tutorial just because it's fun. And so if you want to start integrating tech into education in the library some awesome ways to do it are to do basic tech intro sessions using some of the beginner format tools that I put into the previous slides. I didn't click open every single one of them, but they're going to be there for you there. And you can start getting people thinking about what does this mean for privacy and security? What does this mean for us as a community? And what do we need to know about? And then start thinking about sure this technology is cool, but can we actually use it? And does it matter? It may matter in one community but not in another. Not all of these are going to be for your community necessarily. So if you've got here to look into it you're going to have to see what people in your area are interested in. And you can also do just basic access to tools and you can do just a curated resource collection just pop an information session onto your page and let your people go and explore these sites themselves. I think it's being a librarian or working at a library in general you don't have to be an expert in anything really that your community or your users might want. You just need to know how to get them to the places where the experts are. Exactly. And sometimes it's hard to in this particular topic of coding languages where do you even start? We did that work for you. Amanda, not me. So now at least you have here. Here's some things you can go and give them to do it. You as a librarian don't have to learn how to teach this coding. You can just find the places that will teach them. And I learned it from talking to about a million and one people. That's the way too. And so that's about the long and the short of it. I hear a lot of stuff at you. But if you find some of it interesting then cool. Yeah. All right. Does anybody have any we are a little over 11 o'clock our official end time but that's okay. Anybody have any desperate questions you want to ask Amanda while we're still here wrapping up? Type it into your questions section. Nobody had any questions during the show but that's okay. Like you said there's a lot of information because I'm here for you. The links all these slides and everything will be available for you afterwards so that you can just go ahead and check out all these resources yourself. And you can always contact Amanda here at the commission. Our contact info is on our website so we shouldn't have any trouble asking your questions that way. So let's say the resource slides are probably the most important part of that which I'll actually share in the chat so you can just click it open right now. And you can control the yep and send. So there should be a little chat and go to our interface one of the tabs is chat. There's a link in there you can go ahead and click on right now if you want to get to it. If you don't grab it right now it will also the same link will be included when we put up the archived recording. Should be available by the end of the day today. That's my goal. Alright so let's hop over to back to here and let's get to the Encompass Live Web site so far in the world I keep saying this and it still works. Encompass Live is the only thing called that when you use your search engine of choice Google it whenever so you'll find our website here. As I said we have been recording the show at Louisiana Archives. This is our upcoming shows right underneath here is where the archive shows are the most recent one at the top of the list. So right here will be by the end of the day today is go to Webinar on YouTube Co-operate with me. It will be posted there with a link to the recording that ends up on our YouTube channel and a link to the Google slides of Amanda's will be here. All of you who attend this morning and everyone who pre-registered your day show will get an email sent to you from me letting you know it's available. We also push out that information under our mailing list or Facebook page, Twitter, all the usual communication devices. These are our full archives. You can search here and mention earlier any of our other previous shows we have around here. Our entire history of Encompass Live is here going back to January 2009 when we first started the show. So please do use our search feature here to do that. If you want really up to date information just limit it to the most recent 12 months and you'll find really current most recent shows. But if you do, no matter what you do in here and searching just pay attention to the original broadcast date. Some of these, especially the much older shows, the information may no longer be correct, the websites may no longer exist. Services may have either closed down completely or changed drastically to something we did in like 2010 or something. I just pay attention to that when you're there. Let's get back to our main page here. There we go. All right. Encompass Live doesn't have a Facebook page. If you're a big Facebook user give us a like over there. We do post reminders. Here's a reminder to Logging Today Show or post updates there a couple of times a week. So if you want to keep track of us and keep up with us on Facebook you can like us over there. I hope you join us. These are upcoming shows. You see I've got a couple from March, a couple of April on here. Morally added as I'm finalizing discussions with some people about presenting. But next week show is going to be the Healing Library. Our spawning to trauma in your community through non-traditional lending. This is a library. The Healing Library is actually an organization that will lend out educational materials down a little material they have for you for all sorts of trauma related things that might have affected children in your community, adults, whatever. Here in Nebraska I know we did last year had a lot of issues with the flooding. It was traumatizing for everyone in all ages. So this is an organization that's doing that. Megan will be here remotely online. She's in Tennessee if I remember correctly. To talk about that. So please do join us for next week's show and your other upcoming shows as well. Also one last thing I'll mention is just a little big talk from small libraries is coming up on Friday. This is our annual online conference about where we have presenters from small libraries. Anyone who is a presenter on our online conference is from a library with an FTE or population serve of 10,000 or less. This is on Friday. This is in two days. I run this as well using our same GoToWebinar software we have here. I'm getting things finalized for it also. I'm a little fragile but please do join us. You can still register for it. Even after registration closes officially you can still be able to log in on a fly. Check out our schedule. We've got presenters throughout the whole day from locations all across the country from Nebraska here from other states as well. We've got five 15 minute sessions and then over our noon time hour we have lightning rounds. Seven of those longer sessions. Five, ten minute sessions over the noon time hour. Seven regular longer sessions throughout the day. The whole day will also be recorded just like we do in Compass Live. You can watch on the day. You can always go and watch it when we do get our recordings up in a couple of weeks. Please do join us for Big Talk from Small Libraries on Friday. We'd love to have more people there. It's like we had one person and one person here. There's some thank yous from the audience. Cool. That will wrap it up for today's show. Thank you very much for attending. Hopefully we'll see you another time or on Friday for Big Talk from Small Libraries or annual online Small Library Conference. Thank you. Bye-bye.